EP3384466A4 - Quasi-parametric optical flow estimation - Google Patents
Quasi-parametric optical flow estimation Download PDFInfo
- Publication number
- EP3384466A4 EP3384466A4 EP16871722.1A EP16871722A EP3384466A4 EP 3384466 A4 EP3384466 A4 EP 3384466A4 EP 16871722 A EP16871722 A EP 16871722A EP 3384466 A4 EP3384466 A4 EP 3384466A4
- Authority
- EP
- European Patent Office
- Prior art keywords
- quasi
- optical flow
- flow estimation
- parametric optical
- parametric
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
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Classifications
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
- H04N19/50—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using predictive coding
- H04N19/503—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using predictive coding involving temporal prediction
- H04N19/51—Motion estimation or motion compensation
- H04N19/53—Multi-resolution motion estimation; Hierarchical motion estimation
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/20—Analysis of motion
- G06T7/207—Analysis of motion for motion estimation over a hierarchy of resolutions
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/20—Analysis of motion
- G06T7/223—Analysis of motion using block-matching
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/20—Analysis of motion
- G06T7/223—Analysis of motion using block-matching
- G06T7/238—Analysis of motion using block-matching using non-full search, e.g. three-step search
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/20—Analysis of motion
- G06T7/269—Analysis of motion using gradient-based methods
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/40—Extraction of image or video features
- G06V10/42—Global feature extraction by analysis of the whole pattern, e.g. using frequency domain transformations or autocorrelation
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/40—Scenes; Scene-specific elements in video content
- G06V20/48—Matching video sequences
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/50—Context or environment of the image
- G06V20/56—Context or environment of the image exterior to a vehicle by using sensors mounted on the vehicle
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10016—Video; Image sequence
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20016—Hierarchical, coarse-to-fine, multiscale or multiresolution image processing; Pyramid transform
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20024—Filtering details
- G06T2207/20032—Median filtering
Landscapes
- Engineering & Computer Science (AREA)
- Multimedia (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Signal Processing (AREA)
- Image Analysis (AREA)
- Geometry (AREA)
- Television Systems (AREA)
Applications Claiming Priority (3)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| IN6508CH2015 | 2015-12-04 | ||
| US15/081,118 US10268901B2 (en) | 2015-12-04 | 2016-03-25 | Quasi-parametric optical flow estimation |
| PCT/US2016/064982 WO2017096384A1 (en) | 2015-12-04 | 2016-12-05 | Quasi-parametric optical flow estimation |
Publications (3)
| Publication Number | Publication Date |
|---|---|
| EP3384466A1 EP3384466A1 (en) | 2018-10-10 |
| EP3384466A4 true EP3384466A4 (en) | 2018-12-05 |
| EP3384466B1 EP3384466B1 (en) | 2020-09-16 |
Family
ID=58799177
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| EP16871722.1A Active EP3384466B1 (en) | 2015-12-04 | 2016-12-05 | Quasi-parametric optical flow estimation |
Country Status (4)
| Country | Link |
|---|---|
| US (2) | US10268901B2 (en) |
| EP (1) | EP3384466B1 (en) |
| JP (1) | JP7004314B2 (en) |
| CN (2) | CN113873258B (en) |
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| US9311690B2 (en) * | 2014-03-11 | 2016-04-12 | Adobe Systems Incorporated | Video denoising using optical flow |
| US10268901B2 (en) * | 2015-12-04 | 2019-04-23 | Texas Instruments Incorporated | Quasi-parametric optical flow estimation |
| US10715818B2 (en) * | 2016-08-04 | 2020-07-14 | Intel Corporation | Techniques for hardware video encoding |
| US10621446B2 (en) * | 2016-12-22 | 2020-04-14 | Texas Instruments Incorporated | Handling perspective magnification in optical flow processing |
| US10229534B2 (en) * | 2017-01-10 | 2019-03-12 | Ditto Technologies, Inc. | Modeling of a user's face |
| US10824877B2 (en) * | 2017-06-29 | 2020-11-03 | Texas Instruments Incorporated | Hierarchical data organization for dense optical flow processing in a computer vision system |
| US10467765B2 (en) | 2017-06-29 | 2019-11-05 | Texas Instruments Incorporated | Dense optical flow processing in a computer vision system |
| US11070796B2 (en) * | 2018-09-28 | 2021-07-20 | Qualcomm Incorporated | Ultimate motion vector expression based pruning for video coding |
| CN111083489B (en) | 2018-10-22 | 2024-05-14 | 北京字节跳动网络技术有限公司 | Multiple iteration motion vector refinement |
| CN111083484B (en) | 2018-10-22 | 2024-06-28 | 北京字节跳动网络技术有限公司 | Sub-block based prediction |
| CN109544520B (en) * | 2018-11-09 | 2023-08-18 | 福建和盛高科技产业有限公司 | Automatic video image distortion detection method |
| CN111436227B (en) | 2018-11-12 | 2024-03-29 | 北京字节跳动网络技术有限公司 | Use of combined inter-intra prediction in video processing |
| WO2020103877A1 (en) | 2018-11-20 | 2020-05-28 | Beijing Bytedance Network Technology Co., Ltd. | Coding and decoding of video coding modes |
| WO2020103852A1 (en) | 2018-11-20 | 2020-05-28 | Beijing Bytedance Network Technology Co., Ltd. | Difference calculation based on patial position |
| CN109598744B (en) * | 2018-11-29 | 2020-12-08 | 广州市百果园信息技术有限公司 | Video tracking method, device, equipment and storage medium |
| WO2020154972A1 (en) * | 2019-01-30 | 2020-08-06 | Baidu.Com Times Technology (Beijing) Co., Ltd. | Lidar localization using 3d cnn network for solution inference in autonomous driving vehicles |
| KR102635518B1 (en) | 2019-03-06 | 2024-02-07 | 베이징 바이트댄스 네트워크 테크놀로지 컴퍼니, 리미티드 | Use of converted single prediction candidates |
| JP7307192B2 (en) * | 2019-04-02 | 2023-07-11 | 北京字節跳動網絡技術有限公司 | Derivation of motion vectors on the decoder side |
| CN113767634B (en) * | 2019-05-07 | 2023-06-09 | 北京字节跳动网络技术有限公司 | Unified computing method using refined inter-frame prediction |
| US11430134B2 (en) * | 2019-09-03 | 2022-08-30 | Nvidia Corporation | Hardware-based optical flow acceleration |
| US11176682B2 (en) * | 2019-11-27 | 2021-11-16 | Nvidia Corporation | Enhanced optical flow estimation using a varied scan order |
| US11694341B2 (en) | 2019-12-23 | 2023-07-04 | Texas Instmments Incorporated | Cascaded architecture for disparity and motion prediction with block matching and convolutional neural network (CNN) |
| CN113538525B (en) * | 2021-05-28 | 2023-12-05 | 北京旷视科技有限公司 | Optical flow estimation method, model training method and corresponding device |
| US12548204B2 (en) * | 2021-06-03 | 2026-02-10 | Intel Corporation | Neural frame extrapolation rendering mechanism |
| CN113379808B (en) * | 2021-06-21 | 2022-08-12 | 昆明理工大学 | A method for multi-band solar image registration |
| CN114363703B (en) * | 2022-01-04 | 2024-01-23 | 上海哔哩哔哩科技有限公司 | Video processing method, device and system |
| US20240193791A1 (en) * | 2022-12-13 | 2024-06-13 | Meta Platforms Technologies, Llc | Techniques for accelerating optical flow computations |
| WO2026007010A1 (en) * | 2024-07-02 | 2026-01-08 | Guangdong Oppo Mobile Telecommunications Corp., Ltd. | System and method for unified reference picture synthesis |
| CN119854521B (en) * | 2024-12-30 | 2025-10-28 | 上海富瀚微电子股份有限公司 | Motion vector estimation method, system and readable storage medium |
| CN121280302B (en) * | 2025-12-10 | 2026-02-27 | 苏州一际智能科技有限公司 | Low-light image enhancement method and apparatus |
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| US20050162565A1 (en) * | 2003-12-29 | 2005-07-28 | Arcsoft, Inc. | Slow motion processing of digital video data |
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2016
- 2016-03-25 US US15/081,118 patent/US10268901B2/en active Active
- 2016-12-05 CN CN202111171799.7A patent/CN113873258B/en active Active
- 2016-12-05 EP EP16871722.1A patent/EP3384466B1/en active Active
- 2016-12-05 JP JP2018528997A patent/JP7004314B2/en active Active
- 2016-12-05 CN CN201680064214.2A patent/CN108352074B/en active Active
-
2019
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| US20050162565A1 (en) * | 2003-12-29 | 2005-07-28 | Arcsoft, Inc. | Slow motion processing of digital video data |
Non-Patent Citations (5)
| Title |
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| FORTUN DENIS ET AL: "Optical flow modeling and computation: A survey", COMPUTER VISION AND IMAGE UNDERSTANDING, ACADEMIC PRESS, US, vol. 134, 26 February 2015 (2015-02-26), pages 1 - 21, XP029124767, ISSN: 1077-3142, DOI: 10.1016/J.CVIU.2015.02.008 * |
| J-Y BOUGUET: "Pyramidal Implementation of the Lucas Kanade Feature Tracker: Description of the algorithm", INTEL CORPORATION, MICROPROCESSOR RESEARCH LABS, TECHNICAL REPORT,, 1 January 1999 (1999-01-01), pages 1 - 9, XP002536058 * |
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| SIMON BAKER AND IAIN MATTHEWS ED - BOYKOV YURI ET AL: "Lucas-Kanade 20 Years On: A Unifying Framework", INTERNATIONAL JOURNAL OF COMPUTER VIS, KLUWER ACADEMIC PUBLISHERS, NORWELL, US, vol. 56, no. 3, 1 January 2004 (2004-01-01), pages 221 - 255, XP007912875, ISSN: 0920-5691 * |
Also Published As
| Publication number | Publication date |
|---|---|
| EP3384466B1 (en) | 2020-09-16 |
| CN113873258B (en) | 2025-04-08 |
| JP2019504394A (en) | 2019-02-14 |
| CN108352074B (en) | 2021-11-26 |
| US11341750B2 (en) | 2022-05-24 |
| JP7004314B2 (en) | 2022-01-21 |
| CN108352074A (en) | 2018-07-31 |
| US20190244036A1 (en) | 2019-08-08 |
| CN113873258A (en) | 2021-12-31 |
| US20170161565A1 (en) | 2017-06-08 |
| US10268901B2 (en) | 2019-04-23 |
| EP3384466A1 (en) | 2018-10-10 |
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